30 Case Studies of Intelligent Algorithms in MATLAB
Source Code for 30 Intelligent Algorithm Case Studies in MATLAB
Random Walker Image Segmentation Algorithm
MATLAB implementation of Random Walker image segmentation algorithm requiring Graph Analysis Toolbox installation (available at http://eslab.bu.edu/software/graphanalysis/), including a practical application example demonstrating the graph-based segmentation approach.
MATLAB-Based Source Code Implementation for Image Steganography Using Discrete Fourier Transform
This MATLAB-developed source code implements steganography techniques to embed hidden data (such as images) within cover images using Discrete Fourier Transform (DFT) methodology. The implementation focuses on frequency-domain data concealment through DFT coefficient manipulation.
GPS and Galileo Receiver: Source Code Implementation Guide
Source Code for "A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach" - Complete MATLAB/Simulink Implementation with Signal Processing Algorithms and Navigation Solutions
MATLAB Source Code Implementation for Bidirectional Associative Memory (BAM) Neural Network
Complete MATLAB implementation of Bidirectional Associative Memory (BAM) neural network with pattern association and recall capabilities
SVM Face Recognition Program Source Code
SVM face recognition program source code includes s1-s40 face database, face.m as main recognition program, and load_database.m for data loading function. Note: LIBSVM toolbox functions require manual installation - first install compiler, then execute make.m for setup.
ROC Curve Plotting Source Code Implementation
Beginner-friendly ROC curve plotting source code with detailed algorithmic explanations and implementation guidance
HMAC with SHA Algorithm Implementation Source Code
Implementation source code for HMAC (Hash-based Message Authentication Code) using SHA (Secure Hash Algorithm) with detailed technical explanations and code structure analysis.
MATLAB Implementation of Gaussian Process for Regression and Classification
High-quality Gaussian process source code implementing regression and classification with probabilistic predictions, featuring clear kernel functions and covariance matrix computations
KD-Tree: A Commonly Used Data Structure for Efficient Nearest Neighbor Search
KD-Tree is a widely adopted data structure particularly useful for nearest neighbor searches. This repository contains pure MATLAB source code that demonstrates KD-Tree implementation, construction methods, and search algorithms.